dc.contributor |
Háskólinn í Reykjavík |
dc.contributor |
Reykjavik University |
dc.contributor.author |
Koziel, Slawomir |
dc.contributor.author |
Bekasiewicz, Adrian |
dc.date.accessioned |
2019-04-10T09:11:39Z |
dc.date.available |
2019-04-10T09:11:39Z |
dc.date.issued |
2015-09-23 |
dc.identifier.citation |
Koziel, S., & Bekasiewicz, A. (2015). Recent developments in simulation-driven multi-objective design of antennas, Bulletin of the Polish Academy of Sciences Technical Sciences, 63(3), 781-789. doi: https://doi.org/10.1515/bpasts-2015-0089 |
dc.identifier.issn |
0239-7528 |
dc.identifier.issn |
2300-1917 (eISSN) |
dc.identifier.uri |
https://hdl.handle.net/20.500.11815/1106 |
dc.description |
Publisher's version (útgefin grein) |
dc.description.abstract |
This paper addresses computationally feasible multi-objective optimization of antenna structures. We review two recent techniques that utilize the multi-objective evolutionary algorithm (MOEA) working with fast antenna replacement models (surrogates) constructed as Kriging interpolation of coarse-discretization electromagnetic (EM) simulation data. The initial set of Pareto-optimal designs is subsequently refined to elevate it to the high-fidelity EM simulation accuracy. In the first method, this is realized point-by-point through appropriate response correction techniques. In the second method, sparsely sampled high-fidelity simulation data is blended into the surrogate model using Co-kriging. Both methods are illustrated using two design examples: an ultra-wideband (UWB) monocone antenna and a planar Yagi-Uda antenna. Advantages and disadvantages of the methods are also discussed. |
dc.description.sponsorship |
The authors would like to thank the Computer Simulation Technology AG, Darmstadt, Germany, for making CST Microwave Studio available. This work was supported in part by the Icelandic Centre for Research (RANNIS), the Grant 130450051, and by the National Science Centre of Poland, the Grants 2013/11/B/ST7/04325 and 2014/12/ST7/00045. |
dc.format.extent |
781-789 |
dc.language.iso |
en |
dc.publisher |
Walter de Gruyter GmbH |
dc.relation.ispartofseries |
Bulletin of the Polish Academy of Sciences Technical Sciences;63(3) |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.subject |
Computer aided design |
dc.subject |
Antenna design |
dc.subject |
Multi-objective optimization |
dc.subject |
Surrogate models |
dc.subject |
Evolutionary algorithms |
dc.subject |
Particle swarm optimization |
dc.subject |
Genetic algorithm |
dc.subject |
Models |
dc.subject |
Loftnet |
dc.subject |
Tölvustudd hönnun |
dc.subject |
Bestun |
dc.subject |
Reiknirit |
dc.title |
Recent developments in simulation-driven multi-objective design of antennas |
dc.type |
info:eu-repo/semantics/article |
dcterms.license |
Open access articles are published under a Creative Commons license and authors retain copyright.
De Gruyter takes care to be fully compliant with open access mandates worldwide and supports authors looking for open access funding. |
dc.description.version |
Peer Reviewed |
dc.identifier.journal |
Bulletin of the Polish Academy of Sciences Technical Sciences |
dc.identifier.doi |
10.1515/bpasts-2015-0089 |
dc.contributor.department |
Engineering Optimization & Modeling Center (EOMC) (RU) |
dc.contributor.school |
Tækni- og verkfræðideild (HR) |
dc.contributor.school |
School of Science and Engineering (RU) |